Florent Leclercq

Refereed Journal Articles

• 19. Field-Based Physical Inference From Peculiar Velocity Tracers
  J. Prideaux-Ghee, F. Leclercq, G. Lavaux, A. Heavens, J. Jache
  MNRAS 518, 4191 (2023), arXiv:2204.00023 [astro-ph.CO] ADS pdf (citations: 4)
  
• 18. An intergalactic medium temperature from a giant radio galaxy
  M. S. S. L. Oei, R. J. van Weeren, M. J. Hardcastle, F. Vazza, T. W. Shimwell, F. Leclercq, M. Brüggen, H. J. A. Röttgering
  MNRAS 518, 240 (2023), arXiv:2210.10156 [astro-ph.GA] ADS pdf
  
• 17. Filamentary Baryons and Where to Find Them: A forecast of synchrotron radiation from merger and accretion shocks in the local Cosmic Web
  M. S. S. L. Oei, R. J. van Weeren, F. Vazza, F. Leclercq, A. Gopinath, H. J. A. Röttgering
  A&A 662, A87 (2022), arXiv:2203.05365 [astro-ph.CO] ADS pdf (citations: 3)
  
• 16. Kernel-Based Emulator for the 3D Matter Power Spectrum from CLASS
  A. Mootoovaloo, A. H. Jaffe, A. F. Heavens, F. Leclercq
  Astronomy and Computing 38, 100508 (2022), arXiv:2105.02256 [astro-ph.CO] ADS pdf (citations: 10)
  
• 15. On the accuracy and precision of correlation functions and field-level inference in cosmology
  F. Leclercq, A. Heavens
  MNRAS Letters 506, L85 (2021), arXiv:2103.04158 [astro-ph.CO] ADS pdf (citations: 11)
  
• 14. Velocity debiasing for Hubble constant measurements from standard sirens
  S. Mukherjee, G. Lavaux, F. R. Bouchet, J. Jasche, B. D. Wandelt, S. M. Nissanke, F. Leclercq, K. Hotokezaka
  A&A 646, A65 (2020), arXiv:1909.08627 [astro-ph.CO] ADS pdf (citations: 63)
  
• 13. Parameter Inference for Weak Lensing using Gaussian Processes and MOPED
  A. Mootoovaloo, A. F. Heavens, A. H. Jaffe, F. Leclercq
  MNRAS 497, 2213 (2020), arXiv:2005.06551 [astro-ph.CO] ADS pdf (citations: 14)
  
• 12. Perfectly parallel cosmological simulations using spatial comoving Lagrangian acceleration
  F. Leclercq, B. Faure, G. Lavaux, B. D. Wandelt, A. H. Jaffe, A. F. Heavens, W. J. Percival, C. Noûs
  A&A 639, A91 (2020), arXiv:2003.04925 [astro-ph.CO] ADS pdf (citations: 8)
  
• 11. Primordial power spectrum and cosmology from black-box galaxy surveys
  F. Leclercq, W. Enzi, J. Jasche, A. Heavens
  MNRAS 490, 4237 (2019), arXiv:1902.10149 [astro-ph.CO] ADS pdf (citations: 14)
  
• 10. Bayesian optimisation for likelihood-free cosmological inference
  F. Leclercq
  Physical Review D 98, 063511 (2018), arXiv:1805.07152 [astro-ph.CO] ADS pdf (citations: 36)
  
• 9. The phase-space structure of nearby dark matter as constrained by the SDSS
  F. Leclercq, J. Jasche, G. Lavaux, B. Wandelt, W. Percival
  JCAP 6, 49 (2017), arXiv:1601.00093 [astro-ph.CO] ADS pdf (citations: 17)
  
• 8. Cosmological N-body simulations including radiation perturbations
  J. Brandbyge, C. Rampf, T. Tram, F. Leclercq, C. Fidler, S. Hannestad
  MNRAS Letters 466, L68 (2017), arXiv:1610.04236 [astro-ph.CO] ADS pdf (citations: 28)
  
• 7. Comparing cosmic web classifiers using information theory
  F. Leclercq, G. Lavaux, J. Jasche, B. Wandelt
  JCAP 8, 27 (2016), arXiv:1606.06758 [astro-ph.CO] ADS pdf (citations: 14)
  
• 6. Cosmic web-type classification using decision theory
  F. Leclercq, J. Jasche, B. Wandelt
  A&A Letters 576, L17 (2015), arXiv:1503.00730 [astro-ph.CO] ADS pdf (citations: 20)
  
• 5. Bayesian analysis of the dynamic cosmic web in the SDSS galaxy survey
  F. Leclercq, J. Jasche, B. Wandelt
  JCAP 6, 15 (2015), arXiv:1502.02690 [astro-ph.CO] ADS pdf (citations: 44)
  
• 4. Dark matter voids in the SDSS galaxy survey
  F. Leclercq, J. Jasche, P. M. Sutter, N. Hamaus, B. Wandelt
  JCAP 3, 47 (2015), arXiv:1410.0355 [astro-ph.CO] ADS pdf (citations: 35)
  
• 3. Past and present cosmic structure in the SDSS DR7 main sample
  J. Jasche, F. Leclercq, B. D. Wandelt
  JCAP 1, 36 (2015), arXiv:1409.6308 [astro-ph.CO] ADS pdf (citations: 72)
  
• 2. One-point remapping of Lagrangian perturbation theory in the mildly non-linear regime of cosmic structure formation
  F. Leclercq, J. Jasche, H. Gil-Marín, B. Wandelt
  JCAP 11, 48 (2013), arXiv:1305.4642 [astro-ph.CO] ADS pdf (citations: 33)
  
• 1. Main Sequence Stars with Asymmetric Dark Matter
  F. Iocco, M. Taoso, F. Leclercq, G. Meynet
  Physical Review Letters 108, 061301 (2012), arXiv:1201.5387 [astro-ph.SR] ADS pdf (citations: 44)
  

Other Refereed Publications

• 2. Rubin-Euclid Derived Data Products: Initial Recommendations
  L. P. Guy, J. C. Cuillandre, et al. (120 authors)
  Zenodo, 5836022 (2022), arXiv:2201.03862 [astro-ph.IM] ADS pdf (citations: 4)
  
• 1. One-point statistics of the Lagrangian displacement field
  Addendum to One-point remapping of Lagrangian perturbation theory in the mildly non-linear regime of cosmic structure formation
  F. Leclercq, J. Jasche, B. Wandelt
  JCAP 4, 26 (2015), arXiv:1507.08664 [astro-ph.CO] ADS pdf (citations: 2)
  

Submitted Articles

• 2. Higher-order statistics of the large-scale structure from photometric redshifts
  E. Tsaprazi, J. Jasche, G. Lavaux, F. Leclercq
  arXiv:2301.03581 [astro-ph.CO] ADS pdf
  
• 1. Systematic-free inference of the cosmic matter density field from SDSS3-BOSS data
  G. Lavaux, J. Jasche, F. Leclercq
  arXiv:1909.06396 [astro-ph.CO] ADS pdf (citations: 32)
  

Conference Proceedings

• 5. Simulation-based inference of Bayesian hierarchical models while checking for model misspecification
  F. Leclercq
  Proceedings of the 41st International Conference on Bayesian and Maximum Entropy methods in Science and Engineering (MaxEnt2022), 18-22 July 2022, Paris, France
  doi:10.3390/psf2022005004, arXiv:2209.11057 [stat.ME] ADS pdf
  
• 4. Probabilistic cartography of the large-scale structure
  F. Leclercq, J. Jasche, G. Lavaux, B. Wandelt
  Proceedings of the "Rencontres du Vietnam" 2015, Cosmology 50 years after CMB discovery, 16-22 August 2015, Quy Nhon, Vietnam
  arXiv:1512.02242 [astro-ph.CO] ADS pdf (citations: 3)
  
• 3. Bayesian inference of the initial conditions from large-scale structure surveys
  F. Leclercq
  Proceedings of the IAU Symposium 308, "The Zel'dovich Universe: Genesis and Growth of the Cosmic Web", 23-28 June 2014, Tallinn, Estonia
  doi:10.1017/S1743921316009984, arXiv:1410.2271 [astro-ph.CO] ADS pdf
  
• 2. Bayesian large-scale structure inference: initial conditions and the cosmic web
  F. Leclercq, B. Wandelt
  Proceedings of the IAU Symposium 306, "Statistical Challenges in 21st Cosmology", 25-29 May 2014, Lisbon, Portugal
  doi:10.1017/S1743921314011120, arXiv:1410.1546 [astro-ph.CO] ADS pdf (citations: 2)
  
• 1. Bayesian inference of dark matter voids in galaxy surveys
  F. Leclercq
  Proceedings of the "Rencontres de Moriond", Cosmology session 2014, 22-29 March 2014, La Thuile, Italy
  arXiv:1410.0865 [astro-ph.CO] ADS pdf
  

Book Chapters

• 1. Cosmology: from theory to data, from data to theory
  F. Leclercq, A. Pisani, B. Wandelt
  Lectures given at the International School of Physics Enrico Fermi "New Horizons for Observational Cosmology", June 30-July 6, 2013, Varenna, Italy
  doi:10.3254/978-1-61499-476-3-189, arXiv:1403.1260 [astro-ph.CO] ADS pdf (citations: 4)
  

PhD Thesis

• Bayesian large-scale structure inference and cosmic web analysis
  F. Leclercq
  Institut d'Astrophysique de Paris, 2015
  tel-01265548, arXiv:1512.04985 [astro-ph.CO] ADS pdf (citations: 11)
  

Blog articles

• 3. Simulating the Universe on a mobile phone
  F. Leclercq, G. Lavaux
  25-05-2020, Personal website · Aquila Consortium website
  
• 2. Evolution of cosmological simulations over the last 50 years
  F. Leclercq
  08-04-2020, Personal website · Repository: GitHub:florent-leclercq/Moore_law_cosmosims
  
• 1. Algorithms for likelihood-free cosmological data analysis
  F. Leclercq
  25-04-2019, Personal website · Aquila Consortium website
  

Public Data and Codes

• 3. pySELFI
  Python implementation of the Simulator Expansion for Likelihood-Free Inference (SELFI) algorithm.
  F. Leclercq
  doi:10.5281/zenodo.3341588, GitHub:florent-leclercq/pyselfi, http://pyselfi.florent-leclercq.eu
  
• 2. Simbelmynë
  A hierarchical probabilistic simulator to generate synthetic galaxy survey data
  F. Leclercq
  Additional contributions from: B. Faure, M. M. Ali Mohamed
  BitBucket:florent-leclercq/simbelmyne, http://simbelmyne.florent-leclercq.eu
  
• 1. The BORG SDSS data release
  Public release of data products following the BORG SDSS analysis
  F. Leclercq, J. Jasche, B. Wandelt
  Additional contributions from: N. Hamaus, G. Lavaux, P. M. Sutter
  doi:10.5281/zenodo.1455729, GitHub:florent-leclercq/borg_sdss_data_release, http://data.florent-leclercq.eu